Data Engineer Jobs

About The Position

Requirements

• Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Computational Biology, or related field with 1–3 years of industry experience (preferred); or M.S. in a related field with 4–6 years of industry experience.
• Proven track record in building LLM-based applications, with hands-on expertise in RAG, graph-based RAG, agentic orchestration, and/or chatbot development.
• Proficiency in Python and LLM/ML frameworks such as LangChain, Hugging Face Transformers, PyTorch, or similar.
• Strong experience with knowledge graph technologies, graph databases, and vector databases.
• Demonstrated ability to work in cross-disciplinary teams, communicate complex ideas clearly, and deliver results in fast-moving environments.

Nice To Haves

• Experience working with multi-omics or high-dimensional biological data is a plus
• Familiarity with probabilistic modeling, causal reasoning, or statistical inference is a plus.

Responsibilities

• Architect and implement scalable RAG and LLM-based systems that integrate multi-modal data sources, including knowledge graphs, documents, and structured biological datasets.
• Design and deploy RAG and graph-based RAG pipelines that leverage LLMs and knowledge graphs to retrieve, reason over, and synthesize complex biological information.
• Build and maintain agentic orchestration frameworks (multi-agent systems) that coordinate LLM-based agents for end-to-end scientific reasoning, data retrieval, and decision support.
• Collaborate with data engineering teams to design data pipelines that harmonize and prepare large-scale omics datasets for model training.
• Develop and optimize conversational AI (chatbot) interfaces that enable scientists and stakeholders to query, explore, and interact with internal data and model outputs using natural language.
• Partner with experimental scientists to ensure model outputs are biologically interpretable and experimentally testable.
• Stay abreast of advances in LLMs, RAG architectures, agentic AI, and conversational AI; bring innovative ideas into the team.

Benefits

• healthcare coverage
• annual incentive program
• retirement benefits
• a broad range of other benefits